1;Preface;52;Organization;63;Table of Contents;84;An Enhanced Content Distribution Method Using Metadata Annotation in CDN;104.1;Introduction;104.2;Related Works;114.2.1;Basic Concept and Organization of CDN;114.3;Contents Distribution and Management (CDM) System Using Metadata;124.3.1;CDM System Architecture;134.3.2;Contents Transmission Method Based on Segment;144.3.3;Management of Contents Using Metadata;164.3.4;Metadata Definition for Contents Management;184.4;Implementation and Evaluation;184.4.1;Implementation and Simulation Environment;184.5;Conclusion;214.6;References;215;Feature Tracking in Long Video Sequences Using Point Trajectories;235.1;Introduction;235.2;Related Work;245.2.1;KLT-Based Feature Tracking;245.2.2;SIFT-Based Feature Tracking;255.3;Improving the Feature Tracking Accuracy;265.3.1;Feature Extraction;265.3.2;State Modeling for Feature Tracking;275.3.3;Rejection of Outliers;285.3.4;Tracking Feature Points;285.4;Experimental Results;295.4.1;Feature Tracking in Short Simple Camera Movement;325.4.2;Feature Tracking in General Camera Movement;325.4.3;Error Analysis Using Epipolar Distance;325.5;Conclusion;355.6;References;366;A Model-Driven Framework for Dynamic Web Application Development;386.1;Introduction;386.2;Related Work;396.3;Systems Architecture;416.3.1;The XML Schema of the Web User-Interface Components;416.3.2;The Navigational Model XML Description File;446.3.3;The Visible Graphical Editor;456.3.4;Application Code Generator;486.4;Conclusions;506.5;References;507;Experience with MOF-Based Meta-modeling of Component-Based Systems;527.1;Introduction;527.1.1;Goal and Structure of the Paper;537.2;Background;547.2.1;Models and Meta-models;547.2.2;Component Models;557.3;Applying MOF in Component Model Design and Implementation;567.3.1;Defining Semantics of a Component Model;577.3.2;Infrastructure Creation;587.3.3;Creation of Runtime Management Tools;597.4;Evaluation and Related Work;597.5;Conclusion;627.6;References;628;Closely Spaced Multipath Channel Estimation in CDMA Networks Using Divided Difference Filter;648.1;Introduction;648.2;Channel and Signal Model;658.3;Parameter Estimation Using the Divided Difference Filter;678.3.1;Overview of DDF Algorithm;678.4;Application to Channel Estimation with Multipath/ Multiuser Model;688.5;Conclusion;728.6;References;739;Building "Bag of Conception" Model Based on DBpedia;759.1;Introduction;759.2;DBpedia;769.3;Compiling DBpedia Knowledge into Document Representation;799.3.1;Preliminaries;799.3.2;Conceptual Document Representation;819.4;Experiments;839.4.1;Experimental Framework: Design and Architecture;839.4.2;Datasets and Platform;849.4.3;Results and Discussion;849.5;Conclusion;869.6;References;8610;Study on the Performance Support Vector Machine by Parameter Optimized;8810.1;Introduction;8810.2;Brief Introduction of Support Vector Machine[1~3];8910.3;Rough Sets Theory;9010.4;Genetic Algorithms[9~11];9110.5;System Overview;9310.5.1;Algorithm of RST-Based Feature Reduce;9410.5.2;Chromosome Design;9510.5.3;Fitness Function;9610.6;Experiments;9610.6.1;Experiment Environment;9610.6.2;Data Set;9710.6.3;The Performance Measure;9710.6.4;Simulate;9710.7;Conclusion;10010.8;References;10011;A Tiling Bound for Pairwise Global Sequence Alignment;10211.1;Introduction;10211.2;Method;10311.2.1;Computation Time and Tiling Set Choice;10511.3;References;10612;Discovering Decision Tree Based Diabetes Prediction Model;10812.1;Introduction;10812.1.1;RapidMiner;10912.1.2;Project Plan and Data Set;10912.2;Data Preprocessing;11012.2.1;Feature Identification and Categorization;11012.2.2;Outlier Removal and Feature Selection;11112.2.3;Data Normalization;11212.2.4;Numerical Data Discretization;11212.3;Data Analysis;11312.4;Finding Hidden Relationships;11412.5;Constructing the Prediction Model;11512.6;Conclusion and Future Work;11712.7;References;11713;Application of Formal Concept